Ontology highlight
ABSTRACT: Background
Predicting vaccination behaviors accurately could provide insights for health care professionals to develop targeted interventions.Objective
The aim of this study was to develop predictive models for influenza vaccination behavior among children in China.Methods
We obtained data from a prospective observational study in Wuxi, eastern China. The predicted outcome was individual-level vaccine uptake and covariates included sociodemographics of the child and parent, parental vaccine hesitancy, perceptions of convenience to the clinic, satisfaction with clinic services, and willingness to vaccinate. Bayesian networks, logistic regression, least absolute shrinkage and selection operator (LASSO) regression, support vector machine (SVM), naive Bayes (NB), random
SUBMITTER: Wang Q
PROVIDER: S-EPMC11217706 | biostudies-literature | 2024 Jun
REPOSITORIES: biostudies-literature